Monday, May 8
Review day's agenda
Q&A · Danny will field questions submitted ahead of time
Review the sections of a grant that proposes a SMART
Recommendations for each section
Group Discussion and Q&A
IES Program Officer Round Table
15 Minute Break
Review key concepts from Module 4 and Module 5
Interactive walk through of annotated code in R to conduct primary aim analytics using data from a SMART.
You will not need R installed on your computer to participate in this Follow-Along.
Live demonstration of primary aim analytics in R
Opportunity to run your own R code (optional). To participate, install R.
Closing slides
Day 1 evaluation
Tuesday, May 9
Review day's agenda
Q&A · Review of questions from day 1
Review key concepts from Module 7 [M7].
Interactive walk through of annotated code in R to conduct secondary aim analytics using data from a SMART.
You will not need R software installed on your computer to participate in this Follow-Along.
Live demonstration of secondary aim analytics in R
Opportunity to run your own R code (optional). To participate, install R.
15 Minute Break
Review the sections of a manuscript that reports the results of the primary aim in a SMART
Recommendations for each section
Group Discussion and Q&A
Closing slides
CATIE next steps
Day 2 evaluation
Wednesday, March 15
Registration, breakfast, and morning networking
Welcome!
Ice Breaker: Catch!
Introduction from IES
Introduction to CATIE and d3c
Small group assignments
Defining adaptive interventions
Example adaptive intervention + components
Q&As about adaptive interventions
Example adaptive intervention
Define Sequential Multiple Assignment Randomized Trial [SMART]
Example SMART
Q&As about SMART
Workbook Activity 1 · 20 min
Report Out · 30 min
Scholars from group 1 volunteer to share their working research ideas related to adaptive interventions with the entire institute.
Software assistance hours in room 1430
Case study descriptions · 40 min
Q&A · 10 min
Workbook Activity 2 · 30 min
Report Out · 60 min
Scholars from group 2 [30 min] and group 3 [30 min] volunteer to share their working research ideas related to adaptive interventions with the entire institute.
Introduced by d3c PhD student Madeline Abbott · 5 min
Principal Investigator Dr. William Pelham, FIU · 45 min
Q&A · 10 min
Summarize learning from day 1
Review agenda for day 2
Day 1 evaluation
Thursday, March 16
Discuss day 2 agenda
Review questions or concerns with days 1-2 materials
Data analytics to address two typical primary research questions: What is the main effect of initial treatments? What is the main effect of second-stage tactics?
Prepare for a third primary aim analysis by estimating the mean outcome under each of the embedded adaptive interventions [separately] using weighted least squares.
Introduced by d3c PhD student Simon Nguyen · 5 min
Principal Investigator Dr. Connie Kasari, UCLA · 45 min
Q&A · 10 min
Poster session
Q&A
12:10 - 12:50 - 10-minute one-on-one sessions with Katherine Taylor, Education Research Analyst at IES in room 1440
Prepare, again, for a third primary aim analysis by estimating and comparing the mean outcome under two of the embedded adaptive interventions by using weighted least squares.
Use a single weighted-and-replicated least squares regression approach capable of addressing any/all three primary aims in a SMART.
Workbook Activity 3 · 30 min
Report Out · 60 min
Scholars from groups 4 [30 min] and group 5 [30 min] volunteer to share their working research ideas related to adaptive interventions with the entire institute.
What is a pilot SMART?
What is the role of a pilot SMART in the process of optimizing an adaptive intervention?
How can data from a pilot SMART be analyzed to inform a large-scale SMART study?
Summarize learning from day 2
Review agenda for day 3
Day 2 evaluation
Friday, March 17
Discuss day 3 agenda
Review questions or concerns with days 1-2 material
Secondary Aims about more deeply-tailored adaptive interventions
Baseline and time-varying moderators analysis
What is Q Learning: a data-analytic method for investigating additional ways to tailor an adaptive intervention
Introduced by d3c PhD student Hanna Venera · 5 min
Principal Investigator Stephanie Shire, University of Oregon · 45 min
Q&A · 10 min
Workbook Activity 4 · 20 min
Report Out · 30 min
Open floor. Scholars from all groups volunteer to share their working research ideas related to adaptive interventions with the entire institute.
Software assistance office hours in room 1430
What is a clustered adaptive intervention?
What is a clustered SMART and when is it useful?
How to design and conduct a clustered SMART
Workbook Activity 5 · 20 mins
Report Out · 40 min
Open floor. Scholars from all groups volunteer to share their working research ideas related to adaptive interventions with the entire institute.
Introduced by d3c Post-Doctoral Fellow Qinggang Yu · 5 min
Principal Investigator Meredith Gunlicks-Stoessel, University of Minnesota · 45 min
Closing slides
Final Q&A
Opportunities: Virtual Days, Follow-Up Video Conference, Survey to help us improve the training institute
Day 3 evaluation
